Azure-backed Computer Vision.
Built on enterprise-grade architecture for maximum uptime in the harshest marine environments.
Convolutional Neural Networks at the Edge
Traditional cloud computer vision fails in aquaculture because transmitting high-definition video from an offshore pen over cellular networks is prohibitively expensive and slow. AquaHealth solves this by running custom YOLO (You Only Look Once) object detection models directly on the camera node using NVIDIA Jetson Orin Nano modules.
We don't transmit video. We transmit structured telemetry: fish counts, velocity vectors, lesion bounding boxes, and feeding freneticism scores. This reduces bandwidth by 99%.
Microsoft Azure Integration
Our entire backend infrastructure is hosted on Microsoft Azure to ensure compliance and scalability for our enterprise B2B partners.
Azure IoT Hub
Handles bi-directional communication to thousands of edge nodes securely.
Azure Cosmos DB
Provides millisecond latency for the time-series water quality data.
Azure Cognitive Services
Powers our secondary anomaly detection logic and predictive forecasting models.
AWS S3 & EC2 Data Lakes
For enterprise clients requiring multi-cloud redundancy, our raw telemetry and video diagnostic logs are heavily backed up using AWS infrastructure.